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Issue No.02 - March/April (2008 vol.28)
pp: 24-34
Jaume Rigau , University of Girona, Spain
Miquel Feixas , University of Girona, Spain
Mateu Sbert , University of Girona, Spain
ABSTRACT
The Birkhoff aesthetic measure of an object is the ratio between order and complexity. Informational aesthetics describes the interpretation of this measure from an information-theoretic perspective. From these ideas, the authors define a set of ratios based on information theory and Kolmogorov complexity that can help to quantify the aesthetic experience.
INDEX TERMS
aesthetic measure, informational aesthetics, information theory, Kolmogorov Complexity, physical entropy
CITATION
Jaume Rigau, Miquel Feixas, Mateu Sbert, "Informational Aesthetics Measures", IEEE Computer Graphics and Applications, vol.28, no. 2, pp. 24-34, March/April 2008, doi:10.1109/MCG.2008.34
REFERENCES
1. G.D. Birkhoff, Aesthetic Measure, Harvard Univ. Press, 1933.
2. M. Bense, Einführung in die informationstheoretische Asthetik. Grundlegung und Anwendung in der Texttheorie (Introduction to the Information-theoretical Aesthetics. Foundation and Application to the Text Theory), Rowohlt Taschenbuch Verlag, 1969.
3. A. Moles, Information Theory and Esthetic Perception, Univ. of Illinois Press, 1968.
4. T.M. Cover and J.A. Thomas, Elements of Information Theory, Wiley Series in Telecommunications, John Wiley &Sons, 1991.
5. R. Scha and R. Bod, "Computationele Esthetica," (Computational Esthetics), Informatie en Informatiebeleid, vol. 11, no. 1, 1993, pp. 54–63; English translation available at http://iaaa.nl/rscompestE.html.
6. J. Rigau, M. Feixas, and M. Sbert, "Conceptualizing Birkhoff's Aesthetic Measure Using Shannon Entropy and Kolmogorov Complexity," Proc. Eurographics Workshop Computational Aesthetics in Graphics, Visualization and Imaging, Eurographics Assoc., 2007, pp. 105–112.
7. M. Li et al., "The Similarity Metric," IEEE Trans. Information Theory, vol. 50, no. 12, 2004, pp. 3250–3264.
8. W.H. Zurek, "Algorithmic Randomness and Physical Entropy," Physical Rev. A, vol. 40, no. 8, 1989, pp. 4731–4751.
9. F. Nake, Ästhetik als Informationsverarbeitung: Grundlagen und Anwendungen der Informatik im Bereich ästhetischer Produktion und Kritik (Aesthetics as Data Processing: Bases and Applications of Computer Science in the Area of Aesthetic Production and Criticism), Springer, 1974.
10. J. Rigau, M. Feixas, and M. Sbert, "An Information Theoretic Framework for Image Segmentation," Proc. IEEE Int'l Conf. Image Processing (ICIP 04), vol. 2, IEEE Press, 2004, pp. 1193–1196.
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